{"id":"W4417326468","doi":"10.14796/jwmm.c569","title":"Simulation of Sustainable Stormwater Drainage Systems in Kuergeng Town Using EPASWMM and Remote Sensing Data","year":2025,"lang":"","type":"article","venue":"Journal of Water Management Modeling","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Stormwater; Drainage; Digital elevation model; Hydrology (agriculture); Return period; Flood myth; Flooding (psychology); Drainage system (geomorphology); Geographic information system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003509428,0.0003494091,0.0007412866,0.001110657,0.0002990656,0.0004429861,0.0006260965,0.0001236241,0.00004492132],"category_scores_gemma":[0.00002125071,0.000269235,0.0001360823,0.0004942928,0.0001198176,0.001807,0.001862551,0.0003034935,0.000002117431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286651,"about_ca_system_score_gemma":0.00001927703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307473,"about_ca_topic_score_gemma":0.00002713214,"domain_scores_codex":[0.9959818,0.0002299666,0.001844778,0.0005644718,0.0006497246,0.0007292422],"domain_scores_gemma":[0.9986048,0.00003617829,0.0004270096,0.0006980379,0.0001284824,0.0001054353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001209543,0.00004983391,0.0002619958,0.0007713722,0.0003517446,0.0003022715,0.005532425,0.9841129,0.002996367,0.00001971176,0.000007145075,0.005473305],"study_design_scores_gemma":[0.0009363871,0.0000427508,0.00005192717,0.0009059863,0.0007830297,0.00001111838,0.01741952,0.9771044,0.0006461749,0.001574056,0.000259253,0.0002654533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5529499,0.0003756357,0.4457608,0.0001243979,0.0002452979,0.0002677685,0.000001623706,0.000003160953,0.0002714434],"genre_scores_gemma":[0.9927187,0.0001177901,0.005837646,0.00003586726,0.00006568091,1.878909e-7,0.000007439534,0.00002474128,0.001191935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4399231,"threshold_uncertainty_score":0.999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952112177576913,"score_gpt":0.2669040292529786,"score_spread":0.2373829074772095,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}